RMLProcessor

Processor for RML (R2RML extension) in Java.

As RML-Processor has become a submodule of RML-Mapper, Please refer to https://github.com/RMLio/RML-Mapper for updated installation instructions

Class diagram

Installation

The processor can be installed using Maven, so make sure you have installed it first: http://maven.apache.org/download.cgi and java 1.7

mvn clean install

Usage

You can run a mapping process by executing the following command.

Master branch:

java -jar target/RML-Procssor-0.2.jar -m <mapping_file> -o <output_file> -f <output_format> [-g <graph> -tm <triples_map>]

With

<mapping_file>  = The RML mapping file conform with the [RML specification](http://rml.io/spec.html)
<output_file>   = The file where the output RDF triples are stored; default in [N-Triples](http://www.w3.org/TR/n-triples/) syntax.
<output_format> = The prefered output format, use one of the followings: turtle, ntriples, nquads, rdfxml, rdfjson, jsonld.
<graph> (optional) = The named graph in which the output RDF triples are stored.
<triples_map> (optional)  = A specific Triples Map of the mapping document to be executed. Default: all Triples Maps are executed.

For instance, to run example1, execute the following command by replacing the paths to the files with the local paths:

java -jar target/RML-Processor-0.2.jar -m src/test/resources/example1/example.rml.ttl -o src/test/resources/example1/example1_test.output.nt

Remark

On OSX, it might be needed to export JAVA_HOME=$(/usr/libexec/java_home)

Related Publication

Anastasia Dimou, Miel Vander Sande, Pieter Colpaert, Ruben Verborgh, Erik Mannens, and Rik Van de Walle.

RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data.

Proceedings of the 7th Workshop on Linked Data on the Web (2014)

More Information

More information about the solution can be found at http://rml.io

This application is developed by Multimedia Lab http://www.mmlab.be

License

The RMLProcessor is released under the terms of the MIT license.

DataFabricRus/RML-Processor